Time-Dependent Change in Omentin-1 Level Correlated with Early Improvement of Myocardial Function in Patients with First Anterior ST-Segment Elevation Myocardial Infarction After Primary Percutaneous Coronary Intervention

Zhu, Yong; Du, Yu; Zhang, Jianwei; Liu, Jinxing; Cheng, Guojie; Han, Hongya; Zhao, Yan

doi:10.5551/jat.47043

Cited by 8 publications

(8 citation statements)

References 41 publications

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“…Recently, an increasing number of studies have shown that CCL20, IL1R2, and ITLN1 are correlated with MI [9,[24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]. It was also revealed that the stimulation of peripheral blood mononuclear cells by transforming growth factor-β could lead to enhanced CCL20 expression [26].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, ITLN1 is expected to become an important index for evaluating the occurrence of coronary heart disease [ 43 ]. Zhu et al showed that ITLN1 can inhibit myocardial ischemia-reperfusion injury and negative remodeling associated with injury [ 25 ]. Similarly, Kadoglou et al reported that ITLN1 expression was significantly low in patients with acute MI at admission, but significantly high upon the suppression of inflammation after six months in the hospital.…”

Section: Discussionmentioning

confidence: 99%

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Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction

Yao

Zhao²,

Zhou³

et al. 2021

Bioengineered

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In this study, we evaluated the diagnostic value of key genes in myocardial infarction (MI) based on data from the Gene Expression Omnibus (GEO) database. We used data from GSE66360 to identify a set of significant differentially expressed genes (DEGs) between MI and healthy controls. Logistic regression, least absolute shrinkage and selection operator (LASSO) regression, support vector machine recursive feature elimination (SVM-RFE), and SignalP 3.0 server were used to identify the potential role of genes in predicting diagnosis in patients with MI. Principal component analysis (PCA), receiver operating characteristic (ROC) curve analyses, area under the curve (AUC) analyses, and C-index were used to estimate the diagnostic value of genes in patients with MI. The association was validated using six other independent data sets. Subsequently, bioinformatics analysis was conducted based on the aforementioned potential genes. A meta-analysis was performed to evaluate the diagnostic value of the genes in MI. Forty-four DEGs were selected from the GSE66360 dataset. A three-gene signature consisting of CCL20, IL1R2, and ITLN1 could effectively distinguish patients with MI. The three-gene signature was validated in seven independent cohorts. Functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to reveal the involvement of the three-gene signature in inflammationrelated biological processes and pathways. Moreover, diagnostic meta-analysis results of the three-gene signature showed that the pooled sensitivity, specificity, and AUC for MI were 0.80, 0.90, and 0.93, respectively. These results suggest that the three-gene signature is a novel candidate biomarker for distinguishing MI from healthy controls.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction

Yao

Zhao²,

Zhou³

et al. 2021

Bioengineered

View full text Add to dashboard Cite

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“…Recently, an increasing number of studies have previously shown that CCL20, IL1R2 and ITLN1 were found to be correlated with MI(YAN et al 2012;KATAOKA et al 2014;KADOGLOU et al 2015;MENZEL et al 2016;SAFA et al 2016;STEJSKAL et al 2016;YABLUCHANSKIY et al 2016;NAGASAKA et al 2017;CHANG et al 2018;LIAN et al 2018;ORREM et al 2018;CHEN et al 2019;LIN et al 2019;ZHU et al 2019;ZHANG et al 2020). It was uncovered that the stimulation by transforming growth factor-β of peripheral blood mononuclear cells could have enhanced expression of CCL20 (LIN et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Potential Role of a Three-Gene Signature for Predicting Diagnosis in Patients With Myocardial Infarction

Yao

Zhao

Zhou

et al. 2021

Preprint

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ObjectiveIncreasing evidence underscored that the expression of genes was associated with the development and progression of myocardial infarction (MI). In this study, We evaluated the diagnostic value of the feature genes in MI based on data from the Gene Expression Omnibus (GEO) database.MethodsWe used the data from the GEO database (GSE66360) to identify a set of significant differentially expressed genes (DEGs) between MI and healthy control. Univariable logistic regression, the least absolute shrinkage and selection operator (LASSO), SignalP 3.0 server and multivariable logistic regression were used to find the potential role of genes for predicting diagnosis in patients with MI. Receiver operating characteristic (ROC) curve analyses, area under the curve (AUC) and C-index were used to estimate the diagnostic value of genes in patients with MI. The validation for the association was conduct in another six independent data sets (GSE141512, GSE24519, GSE34198, GSE48060, GSE60993, and GSE109048). Then, a meta-analysis was performed to evaluate the diagnostic value of genes in MI.ResultsA total of 44 DEGs were selected from GSE66360. Functional enrichment and KEGG analysis were performed to reveal the DEGs in some inflammation-related biological processes and pathways. A three-gene signature consisted of CCL20, IL1R2 and ITLN1, which could effectively distinguish patients in MI (AUC and C-index were the same value of 0.975). The three-gene signature was effectively validated in 7 independent cohorts, and diagnostic meta-analysis results of the three-gene signature showed that the pooled sensitivity, specificity and ROC curve AUC for MI were0.82 (95% CI: 0.68-0.90), 0.91 (95% CI: 0.81-0.96) and 0.94(95%CI, 0.91-0.96), respectively. ConclusionIt was magnificently suggest that the three-gene signature might potentially serve as novel candidate biomarkers for distinguishing MI from healthy control. Besides, more well-designed cohort studies need to be implemented to warrant the diagnostic value of three-gene signature in clinical purpose.

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“…Because omentin ameliorates the myocardial damage, it was considered a cardioprotective acute phase reactant in ACS patients. High omentin levels and low CKMB levels were observed in ACS patients at the time of admission [29]. Du et al [25] demonstrated that omentin levels were lower in CAD, and the amount of omentin expression was lower in adipose tissue around the stenotic coronary artery than the adipose tissue surrounding the non-stenotic coronary artery.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of omentin levels in patients with unstable angina pectoris, non-ST elevated myocardial infarction (NSTEMI) and STEMI

Akbulut¹,

Ramazan²,

Özdemir³

et al. 2020

Journal of Surgery and Medicine

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Aim: Acute coronary syndrome (ACS) is an ischemic cardiac disease that could result in myocardial necrosis with prolonged ischemia. Omentin (intelectin-1) is a new biomarker that is released from adipose tissue. It is associated with coronary artery disease (CAD) and has an acute ischemic injury-reducing effect. This study aimed to assess the omentin levels in patients with unstable angina pectoris (USAP), Non-ST segment elevation myocardial infarction (NSTEMI), and ST-segment elevated myocardial infarction (STEMI). Methods: This case-control prospective study included 59 patients with ACS and 22 healthy subjects. MB fraction of creatine kinase (CKMB), troponin, myoglobin, and omentin levels were measured from venous blood obtained from each patient within six hours after the onset of symptoms. Plasma omentin levels were determined with an omentin enzyme-linked immunosorbent assay kit. Results: The patient group was older than the control group (P<0.05) but there was no difference between the groups in terms of gender (P>0.05). The rate of smoking was higher in the patient group, and the patient group was heavier than the control group (P>0.05). Omentin levels were similar in ACS patients and control subjects (6.0 (1.7) vs. 6.3 (1.3), P=0.40). There was no significant correlation among CKMB, troponin, myoglobin, and omentin levels. Moreover, omentin levels were similar in ACS subgroups (P=0.58). There was no significant correlation between body mass index and omentin levels (r =-0.186, P=0.09). Conclusion: This study revealed that there was no significant relationship between omentin and myoglobin levels in ACS patients. The potential usefulness of blood concentrations of omentin levels in understanding the relationship with ACS warrants further studies.

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Time-Dependent Change in Omentin-1 Level Correlated with Early Improvement of Myocardial Function in Patients with First Anterior ST-Segment Elevation Myocardial Infarction After Primary Percutaneous Coronary Intervention

Cited by 8 publications

References 41 publications

Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction

Potential role of a three-gene signature in predicting diagnosis in patients with myocardial infarction

Potential Role of a Three-Gene Signature for Predicting Diagnosis in Patients With Myocardial Infarction

Evaluation of omentin levels in patients with unstable angina pectoris, non-ST elevated myocardial infarction (NSTEMI) and STEMI

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